Non-intrusive load monitoring, or energy disaggregation, aims to separate household consumption data collected from a single point of measurement into appliance-level data. In recent years, the field has rapidly expanded due increased interest as national deployments smart meters have begun in many countries. However, empirically comparing disaggregation algorithms is currently virtually impossible. This different sets used, lack reference implementations these and variety accuracy metrics...

The need for efficient monitoring of spatio-temporal dynamics in large environmental applications, such as the water quality rivers and lakes, motivates use robotic sensors order to achieve sufficient spatial coverage. Typically, these robots have bounded resources, limited battery or amounts time obtain measurements. Thus, careful coordination their paths is required maximize amount information collected, while respecting resource constraints. In this paper, we present an approach...

The term NOMOPHOBIA or NO MObile PHone PhoBIA is used to describe a psychological condition when people have fear of being detached from mobile phone connectivity. constructed on definitions described in the DSM-IV, it has been labelled as “phobia for particular/specific things”. Various factors are involved person overuses phone, e.g., low self-esteem, extrovert personality. burden this problem now increasing globally. Other mental disorders like, social phobia anxiety, and panic disorder...

Residential buildings contribute significantly to the overall energy usage across world. Real deployments, and collected data thereof, play a critical role in providing insights into home consumption occupant behavior. Existing datasets from real residential deployments are all developed countries. Developing countries, such as India, present unique opportunities evaluate scalability of existing research diverse settings. Building upon more than year experience sensor network we undertake an...

Non-intrusive load monitoring (NILM), or energy disaggregation, is the process of using signal processing and machine learning to separate consumption a building into individual appliances. In recent years, number data sets have been released in order evaluate such approaches, which contain both building-level appliance-level data. However, these typically cover less than 10 households due financial cost deployments, are not format allows be easily used by disaggregation researchers. To this...

Non intrusive load monitoring (NILM), or energy disaggregation, is the process of separating total electricity consumption a building as measured at single point into building's constituent loads. Previous research in field has mostly focused on residential buildings, and although potential benefits applying this technology to commercial buildings have been recognised since field's conception, NILM domain largely unexplored by academic community. As result heterogeneity section stock (i.e.,...

Summary A descriptive epidemiological study of fungal rhinosinusitis ( FRS ) was conducted in rural north India the form house‐to‐house survey villages two districts each Punjab and Haryana provinces using a clinical case definition chronic CRS ). The suspected cases were investigated further laboratory to confirm . Air environment sampled different seasons find Aspergillus spore count. prevalence at 0.11% population flavus predominant (97.6%) agent all types patients classified as allergic...

Dear Editor: The mandatory e-learning has emerged as a method for current teaching and learning in private universities schools with the footfall of coronavirus disease 19 (COVID-19) pandemic.[1] Without any specific guidelines, it is now usual routine our children to spend most time (8–12 h per day) attending e-classes front computer or mobile screens. These devices cause harm by emitting short high energy waves that can penetrate eyes eventually contribute photochemical damage retinal...

Citation: Sudip Bhattacharya, Md Mahbub Hossain, Amarjeet Singh. Addressing the shortage of personal protective equipment during COVID-19 pandemic in India-A public health perspective[J]. AIMS Public Health, 2020, 7(2): 223-227. doi: 10.3934/publichealth.2020019

The need for efficient monitoring of spatio-temporal dynamics in large environmental surveillance applications motivates the use robotic sensors to achieve sufficient spatial and temporal coverage. A common approach machine learning model is nonparametric Bayesian framework known as Gaussian Processes (GPs) (c.f., [1]) which are fully specified by a mean covariance function. However, defining suitable functions that able appropriately complex space-time dependencies environment challenging...

With advances in knowledge about health promotion, public professionals are search for the determinants of personal behaviours. This study was carried out to explore level engagement north Indian students promoting behaviours; determine their sense coherence scores; and ascertain behaviours these students.A cross-sectional done four randomly selected colleges Chandigarh during 2007-2008 200 (100 male, 100 female). Their lifestyle profile (HPLP) (SOC) scores were estimated using interviews....

Farmers in developing countries are exposed to pesticide hazards due unsafe handling. This study was conducted identify the prevailing practices of use and factors affecting handling pesticides among farmers Chitwan, Nepal. A cross-sectional 125 farmers. None completely followed all protective measures. About 59% disposed empty containers a nearby water source 62% preferred house ceilings as storage place. Males (aOR = 3.99, CI 1.63-9.78) older 6.18, 2.59-14.72) were more likely smoke or...

Abstract Efficient energy consumption at the building level is vital for sustainability. Providing efficient systems and solutions requires an understanding of how gets consumed. However, there a general lack large-scale open datasets about buildings, which hinders research. The recent emergence smart meters makes it possible to collect such data, can then be used analysis. In this paper, we release I-BLEND , 52 months electrical dataset one-minute sampling rate from commercial residential...

Preserving health requires a holistic approach involving the component of physical, mental, social, and spiritual well-being as stated by World Health Organisation. Salutogenesis concept focuses on factors responsible for rather than disease pathogenesis in contrary to concept. This evidence-based summary tries shed light existing called salutogenesis which is much required current scenario.

A broad range of embedded networked sensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating devices, as well on-demand performance computing and bandwidth communication.Embedded demands these new platforms include support computationally intensive image signal processing optimization statistical computing.To meet requirements while maintaining low energy operation, a multiprocessor node hardware software architecture, Low Power...